Posted by JonSchneider 12 hours ago
So far feels smarter than Bonsai 1 27B, it’s slightly larger than the Q1_0 quant. Super exciting stuff :)
This will hopefully be better, though it'd be a _very_ surprising increase in performace at the size they say. Would love to see more about how it benchmarks.
Prism's llama.cpp fork only has the kernels for CUDA, CPU and Vulkan. No SYCL at all :(
~100t/s prefill, ~15t/s, dropping to ~10t/s later with 64k context.
The issue is I have yet to find a useful agentic local llm that I can run on this machine.
Just given a relatively simple task on a swift app, took 25 minutes, brainstorming like crazy but can not decide on what to do. Eventually I killed it. GPT 5.6 sol-medium took 3 minutes to complete the same task for reference.
`cd ~/Code/Bonsai-demo && BONSAI_CTX=65536 ./scripts/start_llama_server.sh`
then used it in a very minimalistic pi with a very small system prompt.
Didn't spend much time to try to optimize it tbh, but my issue was not the speed. it just could not make a decision on how to implement the task, kept going on an on.
If true, that would be a very welcome development.
Best you could realistically run in 32gb is like 28gb, or a 127B param model